Functional near infrared spectroscopy (fNIRS) has gained considerable popularity over the past decades. This popularity is to a large part owed to the fact that compared to the gold standard for in ...

Last October, the neuroimaging community was abuzz with excitement. Researchers in South Korea seemed to have overcome one of the biggest limitations of functional magnetic resonance imaging (fMRI), a ...

Mathematical research is aiding in the analysis of fMRI data. fMRI is the preeminent class of signals collected from the brain in vivo and is irreplaceable in the study of brain dysfunction in many ...

Research led by a Wayne State University Department of Mathematics professor is aiding researchers in Wayne State's Department of Psychiatry and Behavioral Neurosciences in analyzing fMRI data. fMRI ...

Neuroscientists are using artificial intelligence (AI) machine learning to identify potential predictive biomarkers by finding patterns in the noisy, complex data of brain images. Can AI algorithms ...

Research led by a Wayne State University Department of Mathematics professor is aiding researchers in Wayne State's Department of Psychiatry and Behavioral Neurosciences in analyzing fMRI data. fMRI ...

Obtaining clearer functional MRI data about the brain and its disorders is possible using artificial intelligence, according to Boston College researchers who report in Nature Methods that they have ...

The Child Mind Institute has released a paper detailing their pioneering study in the journal Nature Human Behaviour titled, "Moving Beyond Processing and Analysis-Related Variation in Resting State ...

In the original study, researchers led by Jang-Yeon Park of Sungkyunkwan University submitted anesthetized mice to whisker shocks while taking small segments of fMRI images milliseconds apart. This ...

“What we do know, of course, is what MRI measures,” said Robert Turner, director emeritus of the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. MRI measures the ...